Learning method and recording medium

A learning method includes an input process to input, to a neural network, a first image and a second image that constitute a moving image and that are temporally adjacent to each other, where the second image is an image subsequent to the first image with a predetermined time interval therebetween, a learning process to cause the neural network to use the first image and the second image and learn to output a transformation matrix applied to all pixels of the first image and used to convert the first image into the second image, and an output process to output, as a result of estimation of motion between the first image and the second image, a motion amount image generated from the transformation matrix and representing an amount of motion of each of the pixels of the first image that continues until the predetermined time interval elapses.